Xiaoshuan Liang

865 total citations
27 papers, 636 citations indexed

About

Xiaoshuan Liang is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Xiaoshuan Liang has authored 27 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 13 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Xiaoshuan Liang's work include Breast Cancer Treatment Studies (6 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Xiaoshuan Liang is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Xiaoshuan Liang collaborates with scholars based in China, United States and France. Xiaoshuan Liang's co-authors include Da Pang, Shanshan Sun, Guoqiang Zhang, Youxue Zhang, Yongdong Jiang, Yanni Song, Hongtao Song, Xianyu Zhang, Yanlv Ren and Ming Niu and has published in prestigious journals such as PLoS ONE, British Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Xiaoshuan Liang

22 papers receiving 633 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoshuan Liang China 15 393 351 151 145 76 27 636
Qianlan Yao China 20 546 1.4× 306 0.9× 119 0.8× 78 0.5× 118 1.6× 60 809
Yun Niu China 15 379 1.0× 320 0.9× 313 2.1× 93 0.6× 80 1.1× 31 716
Ann‐Christin Buckendahl Germany 12 747 1.9× 191 0.5× 307 2.0× 108 0.7× 91 1.2× 14 970
Yali Cao China 14 330 0.8× 269 0.8× 140 0.9× 47 0.3× 86 1.1× 38 617
Carla Azzurra Amoreo Italy 15 249 0.6× 148 0.4× 193 1.3× 61 0.4× 75 1.0× 25 492
Jung‐Yu Kan Taiwan 15 341 0.9× 226 0.6× 138 0.9× 32 0.2× 74 1.0× 29 561
Joëlle Collignon Belgium 12 383 1.0× 257 0.7× 285 1.9× 50 0.3× 127 1.7× 59 699
Shoji Nakamori Japan 10 182 0.5× 185 0.5× 270 1.8× 100 0.7× 92 1.2× 28 545
Anna Gajos-Michniewicz Poland 14 504 1.3× 183 0.5× 168 1.1× 52 0.4× 38 0.5× 18 650

Countries citing papers authored by Xiaoshuan Liang

Since Specialization
Citations

This map shows the geographic impact of Xiaoshuan Liang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoshuan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoshuan Liang more than expected).

Fields of papers citing papers by Xiaoshuan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoshuan Liang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoshuan Liang. The network helps show where Xiaoshuan Liang may publish in the future.

Co-authorship network of co-authors of Xiaoshuan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoshuan Liang. A scholar is included among the top collaborators of Xiaoshuan Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoshuan Liang. Xiaoshuan Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiang, Shujun, Haolu Wang, M. Si, et al.. (2025). The Probiotic Parabacteroides johnsonii Ameliorates Metabolic Disorders Through Promoting BCAAs to BSCFAs Conversion. Advanced Science. 12(38). e02624–e02624. 1 indexed citations
2.
Liang, Xiaoshuan, et al.. (2025). Concurrent immunotherapy improves progression-free survival but increases toxicity in unresectable stage III NSCLC. Lung Cancer. 203. 108544–108544. 2 indexed citations
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Liang, Xiaoshuan, et al.. (2025). Risk of second primary cancer in young breast cancer survivors: an important yet overlooked issue. Therapeutic Advances in Medical Oncology. 17. 22766640–22766640.
6.
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Wang, Qiucheng, Zhao Liu, Hui Jing, et al.. (2022). Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer. BMC Cancer. 22(1). 929–929. 14 indexed citations
8.
Sun, Shanshan, Hao Wu, Xiaohong Wu, et al.. (2021). Silencing of PGK1 Promotes Sensitivity to Paclitaxel Treatment by Upregulating XAF1-Mediated Apoptosis in Triple-Negative Breast Cancer. Frontiers in Oncology. 11. 535230–535230. 15 indexed citations
9.
Niu, Ming, Ming Shan, Yanni Song, et al.. (2021). DCTPP1, an Oncogene Regulated by miR-378a-3p, Promotes Proliferation of Breast Cancer via DNA Repair Signaling Pathway. Frontiers in Oncology. 11. 641931–641931. 18 indexed citations
10.
Gong, Xue, Ming Niu, Xiaoshuan Liang, et al.. (2020). lncRNA LCPAT1 Upregulation Promotes Breast Cancer Progression via Enhancing MFAP2 Transcription. Molecular Therapy — Nucleic Acids. 21. 804–813. 29 indexed citations
11.
Wei, Wei, Shiyu Cao, Jing Liu, et al.. (2020). Fibroblast growth factor receptor 4 as a prognostic indicator in triple-negative breast cancer. Translational Cancer Research. 9(11). 6881–6888. 13 indexed citations
12.
Xu, Chengshan, Zhongli Du, Simei Ren, Xiaoshuan Liang, & Huihui Li. (2019). MiR-129-5p sensitization of lung cancer cells to etoposide-induced apoptosis by reducing YWHAB. Journal of Cancer. 11(4). 858–866. 25 indexed citations
13.
Zhan, Yun, Xiaoshuan Liang, Lin Li, et al.. (2016). MicroRNA‐548j functions as a metastasis promoter in human breast cancer by targeting Tensin1. Molecular Oncology. 10(6). 838–849. 44 indexed citations
14.
Liang, Xiaoshuan, Shanshan Sun, Xianyu Zhang, et al.. (2015). Expression of ribosome‐binding protein 1 correlates with shorter survival in Her‐2 positive breast cancer. Cancer Science. 106(6). 740–746. 23 indexed citations
15.
Sun, Shanshan, Xiaoshuan Liang, Xie Zhang, et al.. (2015). Phosphoglycerate kinase-1 is a predictor of poor survival and a novel prognostic biomarker of chemoresistance to paclitaxel treatment in breast cancer. British Journal of Cancer. 112(8). 1332–1339. 75 indexed citations
16.
Lei, Bo, Shouping Xu, Xiaoshuan Liang, et al.. (2015). Long non-coding RNA MVIH is associated with poor prognosis and malignant biological behavior in breast cancer. Tumor Biology. 37(4). 5257–5264. 43 indexed citations
17.
Tao, Weiyang, Xiaoshuan Liang, Yang Liu, Chunyang Wang, & Da Pang. (2014). Decrease of Let-7f in Low-Dose Metronomic Paclitaxel Chemotherapy Contributed to Upregulation of Thrombospondin-1 in Breast Cancer. International Journal of Biological Sciences. 11(1). 48–58. 26 indexed citations
18.
Song, Yanni, Xiaolong Liu, Guoqiang Zhang, et al.. (2013). Unique clinicopathological features of metaplastic breast carcinoma compared with invasive ductal carcinoma and poor prognostic indicators. World Journal of Surgical Oncology. 11(1). 129–129. 111 indexed citations
19.
Zhang, Xianyu, Qian Sun, Ming Shan, et al.. (2013). Promoter Hypermethylation of ARID1A Gene Is Responsible for Its Low mRNA Expression in Many Invasive Breast Cancers. PLoS ONE. 8(1). e53931–e53931. 49 indexed citations
20.
Sun, Qian, Shihui Yu, Youxue Zhang, et al.. (2012). Covariation of copy number located at 16q22.1: New evidence in mammary ductal carcinoma. Oncology Reports. 28(6). 2156–2162. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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